All conference proceedings listed are strictly peer reviewed, * Denotes Preprint Draft

2024

Learning Analytics and Knowledge [LAK]

Feedback on feedback: Comparing classic natural language processing and generative ai to evaluate peer feedback

S. Hutt, A. DePiro, J. Wang, S. Rhodes, R. Baker, G. Hieb, S. Sethuraman, J. Ocumpaugh, and C. Mills

International Journal of Artifical Intelligence in Education [IJAIED]

Toward Asset-based Instruction and Assessment in Artificial Intelligence in Education

J. Ocumpaugh, R. D. Roscoe, R. S. Baker, S. Hutt, and S. J. Aguilar

2023

Educational technology research and development

Dec

Detector-driven classroom interviewing: Focusing qualitative researcher time by selecting cases in situ

R. S. Baker, S. Hutt, N. Bosch, J. Ocumpaugh, G. Biswas, L. Paquette, J. M. A. Andres, N. Nasiar, and A. Munshi

Science Advances

Using artificial intelligence to assess personal qualities in college admissions

B. Lira, M. Gardner, A. Quirk, C. Stone, A. Rao, L. Ungar, S. Hutt, L. Hickman, S. K. D’Mello, and A. L. Duckworth

International Conference on Quantitative Ethnography [ICQE]

Cracking the code of learning gains: Using ordered network analysis to understand the influence of prior knowledge

A. F. Zambrano, A. Barany, J. Ocumpaugh, N. Nasiar, S. Hutt, A. Goslen, J. Rowe, J. Lester, E. Wiebe, and B. Mott

International Conference on Multimodal Interaction [ICMI]

Detecting when the mind wanders off task in real-time: An overview and systematic review,

V. Kuvar, J. W. Y. Kam, S. Hutt, and C. Mills,

International Conference on Educational Data Mining [EDM]

July

The Right To Be Forgotten and Educational Data Mining: Challenges and Paths Forward

S. Hutt, S. Das, and R. S. Baker

Learning @ Scale [L@S]

July

Exploring Cross-Country Prediction Model Generalizability in MOOCs

J.M. Andres-Bray, S. Hutt, and R. S. Baker

International Conference on Artificial Intelligence in Education [AIED]

July

Modeling problem-solving strategy invention (PSSI) behavior in an online math environment

N. Nasiar, R. S Baker, Y. Zou, J. Zhang, S. Hutt

International Conference on Artificial Intelligence in Education [AIED]

July

Enhancing Engagement Modeling in Game-Based Learning Environments with Student-Agent Discourse Analysis

A. Goslen, N. Henderson, J. Rowe, J. Zhang, S. Hutt,, J. Ocumpaugh, E. Wiebe, K. E. Boyer, B. Mott, J. Lester

International Conference on Artificial Intelligence in Education [AIED]

July

It’s Good to Explore: Investigating Silver Pathways and the Role of Frustration During Game-Based Learning

N. Nasiar, A. F. Zambrano, J Ocumpaugh, S. Hutt, A. Goslen, J. Rowe, J. Lester, N. Henderson, E. Wiebe, K. E. Boyer, B. Mott

International Conference of the Learning Sciences [ICLS]

June

Anxiety, Achievement, and Self-Regulated Learning in CueThink

J.M.A.L. Andres, R.S. Baker, S Hutt, C. Mills, J. Zhang, S. Rhodes, and A. DePiro

International Conference of the Learning Sciences [ICLS]

June

Automated Multi-Dimensional Analysis of Peer Feedback in Middle School Mathematics

J. Zhang, R.S.Baker, J.M.A.L. Andres, S. Hutt, and S. Sethuraman

Journal of Computer Assisted Learning [JCAL]

Analysing adaptive scaffolds that help students develop self‐regulated learning behaviours

A. Munshi, G. Biswas, R. S. Baker, J. Ocumpaugh, S. Hutt, and L Paquette

Learning Analytics and Knowledge [LAK]

March

Using a Webcam Based Eye-tracker to Understand Students’ Thought Patterns and Reading Behaviors in Neurodivergent Classrooms

A. Wong, R. L. Bryck, R. S. Baker, S. Hutt, C. Mills

Behavior Research Methods

Webcam-based eye tracking to detect mind wandering and comprehension errors

S. Hutt, A. Wong, A. Papoutsaki, R. Baker, J. Gold, and C. Mills

2022

International Conference on Quantitative Ethnography [ICQE]

November

A Less Overconservative Method for Reliability Estimation for Cohen’s Kappa

M. He, R. S. Baker, S. Hutt, and J. Zhang

Journal of Educational Data Mining

Using machine learning to detect SMART model cognitive operations in mathematical problem-solving process

J. Zhang, J. M. A. L. Andres, S. Hutt, R. S. Baker, J. Ocumpaugh, C. Mills, J. Brooks, S. Sethuraman, and T. Young

Journal of Computer Assisted Learning

Analysing adaptive scaffolds that help students develop self-regulated learning behaviours

A. Munshi, G. Biswas, R. S. Baker, J. Ocumpaugh, S. Hutt, L. Paquette

International Conference on Multimodal Interaction [ICMI]

November

Evaluating calibration-free webcam-based eye tracking for gaze-based user modeling

S. Hutt and S. K. D'Mello

Artificial Intelligence in STEM Education: The Paradigmatic Shifts in Research, Education, and Technology. [Book Chapter]

Quick Red Fox: An App Supporting a New Paradigm in Qualitative Research on AIED for STEM

S. Hutt, R. S. Baker, J. Ocumpaugh, A. Munshi, J. M. A. L. Andres, S. Karumbaiah, S. Slater, G. Biswas, L. Paquette, N. Bosch, and M. van Velsen

IEEE Learning With MOOCS [LWMOOCS]

September

Research using the MOOC replication framework and E-TRIALS

R. S. Baker, S. Hutt, M. Mogessie, and H. Valayaputtar

International Conference on Educational Data Mining [EDM]

July

Detecting SMART Model Cognitive Operations in Mathematical Problem-Solving Process

J. Zhang, J. M. A. L. Andres, S. Hutt, R. S. Baker, J. Ocumpaugh, C. Mills, J. Brooks, S. Sethuraman, and T. Young

International Conference on Educational Data Mining [EDM]

July

Evaluating gaming detector model robustness over time

N. Levin, R. S. Baker, N. Nasiar, S. Fancsali, and S. Hutt

International Conference on Artificial Intelligence in Education [AIED]

July

Investigating Student Interest and Engagement in Game-Based Learning Environments

J. Zhang, S. Hutt, J. Ocumpaugh, N. Henderson, A. Golsen, J. Rowe, K. Boyer, E. Wiebe, B. Mott, and J. Lester

British Journal of Educational Technology

Controlled outputs, full data: A privacy-protecting infrastructure for MOOC data

S. Hutt, R. S. Baker, M. M. Ashenafi, J. M. Andres-Bray, and C. Brooks

ACM Symposium of Eye Tracking Research & Applications [ETRA]

June

Feasibility of Longitudinal Eye-Gaze Tracking in the Workplace

S. Hutt, A. E. Stewart, J. Gregg, S. Mattingly, and S. K. D’Mello

Contemporary Educational Psychology

The evolution of metacognitive strategy use in an open-ended learning environment: Do prior domain knowledge and motivation play a role?

Y. Zhang, L. Paquette, N. Bosch, J. Ocumpaugh, G. Biswas, S. Hutt, and R. S. Baker

2021

International Conference on Quantitative Ethnography [ICQE]

November

How Anxiety Affects Affect: A Quantitative Ethnographic Investigation using Affect Detectors and Data-Targeted Interviews

J. M. A. L. Andres, S. Hutt, J. L. Ocumpaugh, R. S. Baker, N. Naisar, and C. Porter

International Conference on Computers in Education [ICCE]

November

Using qualitative data from targeted interviews to inform rapid AIED development

J. L. Ocumpaugh, S. Hutt, J. M. A. L. Andres, R. S. Baker, G. Biswas, N. Bosch, L. Paquette, and A. Munshi

Annual Meeting of the Cognitive Science Society [CogSci]

July

Who’s stopping you? - using microanalysis to explore the impact of science anxiety on self-regulated learning operations

S. Hutt, J. Ocumpaugh, J. M. A. L. Andres, A. Munshi, N. Bosch, R. S. Baker, Y. Zhang, L. Paquette, S. Slater, and G. Biswas

International Conference on Educational Data Mining [EDM]

July

Sharpest tool in the shed: Investigating smart models of self-regulation and their impact on learning

S. Hutt, J. Ocumpaugh, J. M. A. L. Andres, N. Bosch, L. Paquette, G. Biswas, and R. S. Baker

International Conference on Artificial Intelligence in Education [AIED]

June

Affect targeted interviews for understanding student frustration

R. S. Baker, N. Nasiar, J. L. Ocumpaugh, S. Hutt, J. M. A. L. Andres, S. Slater, M. Schofield, A. Moore, L. Paquette, A. Munshi, and G. Biswas

International Conference on Artificial Intelligence in Education [AIED]

June

A comparison of hints vs. scaffolding in a mooc with adult learners

Y. Zhou, J. Andres-Bray, S. Hutt, K. Ostrow, and R. S. Baker

International Conference on Artificial Intelligence in Education [AIED]

June

Towards Sharing Student Models Across Learning Systems

R. S. Baker, B. McLaren, S. Hutt, J. Richey, E. Rowe, M. Almeda, M. Mogessie, and J. M. A. L. Andres

Conference on Human Factors in Computing Systems [CHI]

May

Breaking out of the Lab: Mitigating Mind Wandering with Gaze-Based Attention-Aware Technology in Classrooms

S. Hutt, K. Krasich, J. R. Brockmole, and S. K. D’Mello

International Conference on Learning Analytics and Knowledge [LAK]

April

What You Do Predicts How You Do, Prospectively Modeling Student Quiz Performance Using Activity Features in an Online Learning Environment

E. Jensen, T. Umada, N. C. Hunkins, S. Hutt , A. C. Huggins-Manley and S. K. D'Mello

2020

Dissertation

July

Scaling Up: Moving Automated Gaze-Based Engagement Out of the Lab

S. Hutt

Journal of Research on Adolesence [JRA]

March

How does high school extracurricular participation predict bachelor’s degree attainment? it’s complicated

M. Gardner, S. Hutt, A. L. Duckworth, and S. K. D’Mello

2019

User Modeling and User-Adapted Interaction [UMUAI]

June

Automated gaze-based mind wandering detection during computerized learning in classrooms

S. Hutt, K. Krasich, C. Mills, N. Bosch, S. White, J. R. Brockmole, and S. K. D’Mello

American Educational Research Journal [AERJ]

May

Why high school grades are better predictors of on-time college graduation than are admissions test scores: The role of self- regulation and cognitive ability.

B. M. Galla, E. P. Shulman, B. Plummer, M. Gardner, S. Hutt, J. Goyer, A. Finn, S. K. D’Mello, and A.L. Duckworth

International Conference on Educational Data Mining [EDM]

Montreal, Canada - July

Evaluating fairness and generalizability in models predicting on-time graduation from college applications

S. Hutt, M. Gardner, A. L. Duckworth, and S. K. D’Mello

International Conference on Educational Data Mining [EDM]

Montreal, Canada - July

Generalizability of sensor-free affect detection models in a longitudinal dataset of tens of thousands of students

E. Jensen, S. Hutt, and S. K. D’Mello

Conference on Human Factors in Computing Systems [CHI]

Glasgow, Scotland UK - May

Time to scale: Generalizable affect detection for tens of thousands of students across an entire school year

S. Hutt , J. F. Grafsgaard, and S. K. D’Mello

International Conference on Learning Analytics & Knowledge [LAK]

Tempe, AZ, USA - March

Language as thought: Using natural language processing to model noncognitive traits that predict college success

C. Stone, A. Quirk, M. Gardener, S. Hutt, A. L. Duckworth, and S. K. D’Mello

2018

Journal of Experimental Psychology

Gaze-based signatures of mind wandering during real-world scene processing

K. Krasich, R. McManus, S. Hutt, M. Faber, S. K. D’Mello, and J. R. Brockmole

International Conference on Artificial Intelligence in Education [AIED]

London, UK - June

MindTS: Testing a brief mindfulness intervention with an intelligent tutoring system

K. Krasich, S. Hutt, C. Mills, C. A. Spann, J. R. Brockmole, and S. K. D’Mello

International Conference on Learning Analytics and Knowledge [LAK]

Sydney, NSW, Australia - March

Prospectively predicting 4-year college graduation from student applications

S. Hutt, M. Gardener, D. Kamentz, A. L. Duckworth, and S. K. D’Mello

2017

IEEE Frontiers in Education Conference [FIE]

Indianapolis, IN, USA - October

Placating plato with plates of pasta: An interactive tool for teaching the dining philosophers problem

J. DeBenedetto, S. Hutt, L. Fause, A. Liu, and N. Kremer-Herman

Conference on User Modeling, Adaptation and Personalization [UMAP]

Bratislava, Slovakia - July

Out of the fr-eye-ing pan: Towards gaze-based models of attention during learning with technology in the classroom

S. Hutt, C. Mills, N. Bosch, K. Krasich, J. R. Brockmole, and S. K. D’Mello

International Conference on Educational Data Mining [EDM]

Wuhan, China - July

Gaze-based detection of mind wandering during lecture viewing

S. Hutt, J. Hardey, R. Bixler, A. Stewart, E. Risko, and S. K. D’Mello

2016

International Conference on Educational Data Mining [EDM]

Raleigh, NC, USA - July

The Eyes Have It: Gaze-based Detection of Mind Wandering during Learning with an Intelligent Tutoring System

S. Hutt, C. Mills, S. White, P. J. Donnelly, and S. K. D’Mello